Fixed test cases
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85d4906d1c
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@ -15,24 +15,33 @@ namespace FastRngTests.Double.Distributions
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[Category(TestCategories.NORMAL)]
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[Category(TestCategories.NORMAL)]
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public async Task TestBetaDistribution01()
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public async Task TestBetaDistribution01()
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{
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{
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const double A = 2.0;
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const double B = 2.0;
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const double MEAN = A / (A + B);
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const double VARIANCE = (A * B) / ((A + B) * (A + B) * (A + B + 1.0));
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var dist = new FastRng.Double.Distributions.BetaA2B2();
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var dist = new FastRng.Double.Distributions.BetaA2B2();
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var stats = new RunningStatistics();
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var fqa = new FrequencyAnalysis();
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var rng = new MultiThreadedRng();
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var rng = new MultiThreadedRng();
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for (var n = 0; n < 100_000; n++)
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for (var n = 0; n < 100_000; n++)
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stats.Push(await rng.NextNumber(dist));
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fqa.CountThis(await rng.NextNumber(dist));
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rng.StopProducer();
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rng.StopProducer();
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TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
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var result = fqa.NormalizeAndPlotEvents(TestContext.WriteLine);
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TestContext.WriteLine($"variance={VARIANCE} vs {stats.Variance}");
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Assert.That(stats.Mean, Is.EqualTo(MEAN).Within(0.1), "Mean is out of range");
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Assert.That(result[0], Is.EqualTo(0.0396).Within(0.3));
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Assert.That(stats.Variance, Is.EqualTo(VARIANCE).Within(0.01), "Variance is out of range");
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Assert.That(result[1], Is.EqualTo(0.0784).Within(0.3));
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Assert.That(result[2], Is.EqualTo(0.1164).Within(0.3));
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Assert.That(result[21], Is.EqualTo(0.6864).Within(0.3));
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Assert.That(result[22], Is.EqualTo(0.7084).Within(0.3));
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Assert.That(result[23], Is.EqualTo(0.7296).Within(0.3));
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Assert.That(result[50], Is.EqualTo(0.9996).Within(0.3));
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Assert.That(result[75], Is.EqualTo(0.7296).Within(0.3));
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Assert.That(result[85], Is.EqualTo(0.4816).Within(0.3));
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Assert.That(result[90], Is.EqualTo(0.3276).Within(0.3));
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Assert.That(result[97], Is.EqualTo(0.0784).Within(0.3));
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Assert.That(result[98], Is.EqualTo(0.0396).Within(0.3));
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Assert.That(result[99], Is.EqualTo(0.0000).Within(0.3));
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}
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}
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[Test]
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[Test]
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@ -42,8 +51,9 @@ namespace FastRngTests.Double.Distributions
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{
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{
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var rng = new MultiThreadedRng();
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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var samples = new double[1_000];
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var dist = new FastRng.Double.Distributions.BetaA2B2();
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for (var n = 0; n < samples.Length; n++)
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.BetaA2B2());
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samples[n] = await rng.NextNumber(-1.0, 1.0, dist);
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rng.StopProducer();
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range");
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min out of range");
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@ -57,8 +67,9 @@ namespace FastRngTests.Double.Distributions
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{
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{
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var rng = new MultiThreadedRng();
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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var samples = new double[1_000];
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var dist = new FastRng.Double.Distributions.BetaA2B2();
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for (var n = 0; n < samples.Length; n++)
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.BetaA2B2());
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samples[n] = await rng.NextNumber(0.0, 1.0, dist);
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rng.StopProducer();
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
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@ -20,15 +20,19 @@ namespace FastRngTests.Double.Distributions
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var dist = new FastRng.Double.Distributions.Normal();
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var dist = new FastRng.Double.Distributions.Normal();
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var stats = new RunningStatistics();
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var stats = new RunningStatistics();
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var fra = new FrequencyAnalysis();
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var rng = new MultiThreadedRng();
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var rng = new MultiThreadedRng();
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for (var n = 0; n < 100_000; n++)
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for (var n = 0; n < 100_000; n++)
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{
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{
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var nextNumber = await rng.NextNumber(dist);
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var nextNumber = await rng.NextNumber(dist);
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stats.Push(nextNumber);
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stats.Push(nextNumber);
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fra.CountThis(nextNumber);
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}
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}
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rng.StopProducer();
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rng.StopProducer();
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fra.NormalizeAndPlotEvents(TestContext.WriteLine);
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TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
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TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
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TestContext.WriteLine($"variance={STANDARD_DEVIATION * STANDARD_DEVIATION} vs {stats.Variance}");
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TestContext.WriteLine($"variance={STANDARD_DEVIATION * STANDARD_DEVIATION} vs {stats.Variance}");
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@ -43,8 +47,9 @@ namespace FastRngTests.Double.Distributions
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{
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{
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var rng = new MultiThreadedRng();
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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var samples = new double[1_000];
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var dist = new FastRng.Double.Distributions.Normal();
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for (var n = 0; n < samples.Length; n++)
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.Normal());
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samples[n] = await rng.NextNumber(-1.0, 1.0, dist);
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rng.StopProducer();
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range");
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range");
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@ -58,8 +63,9 @@ namespace FastRngTests.Double.Distributions
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{
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{
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var rng = new MultiThreadedRng();
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var rng = new MultiThreadedRng();
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var samples = new double[1_000];
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var samples = new double[1_000];
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var dist = new FastRng.Double.Distributions.Normal();
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for (var n = 0; n < samples.Length; n++)
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.Normal());
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samples[n] = await rng.NextNumber(0.0, 1.0, dist);
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rng.StopProducer();
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
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@ -23,12 +23,19 @@ namespace FastRngTests.Double.Distributions
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const double VARIANCE = (1.0 / 12.0) * (B - A) * (B - A);
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const double VARIANCE = (1.0 / 12.0) * (B - A) * (B - A);
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var stats = new RunningStatistics();
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var stats = new RunningStatistics();
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var fra = new FrequencyAnalysis();
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var rng = new MultiThreadedRng();
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var rng = new MultiThreadedRng();
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for (var n = 0; n < 100_000; n++)
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for (var n = 0; n < 100_000; n++)
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stats.Push(await rng.GetUniform());
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{
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var value = await rng.GetUniform();
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stats.Push(value);
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fra.CountThis(value);
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}
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rng.StopProducer();
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rng.StopProducer();
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fra.NormalizeAndPlotEvents(TestContext.WriteLine);
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fra.PlotOccurence(TestContext.WriteLine);
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TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
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TestContext.WriteLine($"mean={MEAN} vs. {stats.Mean}");
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TestContext.WriteLine($"variance={VARIANCE} vs {stats.Variance}");
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TestContext.WriteLine($"variance={VARIANCE} vs {stats.Variance}");
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@ -113,8 +120,9 @@ namespace FastRngTests.Double.Distributions
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public async Task TestUniformGeneratorWithRange01()
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public async Task TestUniformGeneratorWithRange01()
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{
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{
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var samples = new double[1_000];
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var samples = new double[1_000];
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var dist = new FastRng.Double.Distributions.Uniform();
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for (var n = 0; n < samples.Length; n++)
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(-1.0, 1.0, new FastRng.Double.Distributions.Uniform());
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samples[n] = await rng.NextNumber(-1.0, 1.0, dist);
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rng.StopProducer();
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rng.StopProducer();
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range");
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(-1.0), "Min is out of range");
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@ -127,8 +135,9 @@ namespace FastRngTests.Double.Distributions
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public async Task TestUniformGeneratorWithRange02()
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public async Task TestUniformGeneratorWithRange02()
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{
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{
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var samples = new double[1_000];
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var samples = new double[1_000];
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var dist = new FastRng.Double.Distributions.Uniform();
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for (var n = 0; n < samples.Length; n++)
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for (var n = 0; n < samples.Length; n++)
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samples[n] = await rng.NextNumber(0.0, 1.0, new FastRng.Double.Distributions.Uniform());
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samples[n] = await rng.NextNumber(0.0, 1.0, dist);
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
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Assert.That(samples.Min(), Is.GreaterThanOrEqualTo(0.0), "Min is out of range");
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Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range");
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Assert.That(samples.Max(), Is.LessThanOrEqualTo(1.0), "Max is out of range");
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